Forstock Blog

November 21, 2025

How to Forecast Inventory Costs for Shopify Stores

Forecast inventory costs for Shopify using ABC‑XYZ segmentation, MAPE and bias, EOQ and safety stock, plus automation to reduce stockouts and overstock.

Rami Farah

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November 20, 2025

How to Forecast Seasonal Inventory for Better Cash Flow

Accurate seasonal inventory forecasting is crucial for maintaining cash flow and meeting customer demand while avoiding overstocking.

Rami Farah

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November 19, 2025

How to Calculate Lead Time for Accurate Forecasting

Learn how to accurately calculate lead time for better inventory management and forecasting to avoid stockouts and reduce costs.

Rami Farah

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November 18, 2025

How AI Improves Reorder Point Accuracy

Learn how AI enhances inventory management by optimizing reorder points, reducing stockouts, and automating purchasing for e-commerce businesses.

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November 10, 2025

Integrating Multi-Supplier Data in Shopify

Integrating multiple suppliers in Shopify enhances inventory management, reduces errors, and improves customer satisfaction through automation.

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November 10, 2025

How AI Powers Real-Time Inventory Monitoring

Explore how AI enhances inventory management for eCommerce by providing real-time updates, demand forecasting, and automation, transforming operational efficiency.

Featured articles

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December 25, 2025

AI Stockout Prediction for Shopify Brands

Predict and prevent stockouts using AI: clean sales data, track SKU and lead-time metrics, and automate reorder points to reduce lost sales and overstock.

How to Choose a Scalable Inventory Platform

Guide to choosing a scalable inventory platform: assess growth, Shopify integration, AI forecasting, automation, multi-location support, and total cost.

Checklist for Setting Up Automated Reorder Points

Step-by-step checklist to calculate reorder points, enable AI forecasts, automate purchase orders, and monitor inventory in Shopify.

5 Common Problems with Manual Inventory Tracking

Manual inventory tracking leads to errors, wasted labor, outdated stock data, scaling issues, and weak reporting—why automation fixes them.

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